Submissions for NA Digest:

Dr. Richard J. Hanson died at age 78 in Albuquerque, NM, on December
4, 2016, after battling brain cancer for a year and a half. He
published numerous papers, including coauthoring the first BLAS paper,
and published two SIAM books: "Solving Least Squares Problems" with
Charles Lawson and "Numerical Computing with Modern Fortran" with Tim
Hopkins. Richard served as Algorithms Editor for ACM TOMS for 8
years, a demanding job as I know from personal experience. He was a
long time member of SIAM, ACM, and of the IFIP Working Group 2.5 on
Numerical Software.

We were good friends in College, and published a few joint papers. He
was always there to listen to my strange ideas, and to offer good
advice. I ended up at the Jet Propulsion Laboratory due to his
encouragement and stayed for 30 years. Richard seemed to like
variety, with jobs at: Univ. of Southern Calif., Jet Propulsion
Laboratory, Wash. State Univ., Sandia Nat'l Labs, Applied Dynamics
International, IMSL/Visual Numerics, The Center for High Performance
Software Research at Rice Univ., and Visual Numerics/Rogue Wave. He
was active with his mathematical activities up to the time the cancer
hit.

He leaves behind a wife, Karen Haskell, 3 sons, a daughter, 4
grandchildren, 2 brothers, a sister and all of their families, as well
as numerous friends. And I miss him.

Fred Krogh, fkrogh@mathalacarte.com
With some input from Karen Haskell.

The Black Box Optimization Competition (BBComp,http://bbcomp.ini.rub.de/) has just opened a new track consisting of
10 challenging real-world optimization problems. The competition is
organized in the scope of the Conference on Evolutionary
Multi-Criterion Optimization (EMO'2017, http://www.emo2017.org/).

BBComp is the first competition platform in the continuous domain
where test problems are truly black boxes to participants. The only
information known to the optimizer and participant is the dimension of
the problem, bounds on all variables, and a budget of black box
queries.

The competition is also the first web/online optimization competition
in evolutionary computation domain, it aims at attacking a growing
impact of over-fitting of optimization algorithms to a narrow set of
existing benchmark problems. The competition was run three time so
far, attracting about 100 unique submissions, including some
state-of-the-art commercial solvers.

All the material including the source code in C/C++, MATLAB, Python
and Java is available at http://bbcomp.ini.rub.de . The results of the
competition will be announced during EMO'2017. Participants do not
need to attend the conference or submit papers, they can even choose
to be anonymous to the other participants.

Data assimilation is an approach that combines observations and model
output, with the objective of improving the latter. This book places
data assimilation into the broader context of inverse problems and the
theory, methods, and algorithms that are used for their solution. It
provides a framework for, and insight into, the inverse problem nature
of data assimilation, emphasizing "why" and not just "how." Methods
and diagnostics are emphasized, enabling readers to readily apply them
to their own field of study. Readers will find a comprehensive guide
that is accessible to nonexperts; numerous examples and diverse
applications from a broad range of domains, including geophysics and
geophysical flows, environmental acoustics, medical imaging,
mechanical and biomedical engineering, economics and finance, and
traffic control and urban planning; and the latest methods for
advanced data assimilation, combining variational and statistical
approaches. To order or for more about this book, including links to
its table of contents, preface, and index, please visithttp://bookstore.siam.org/FA11/.

This third edition of MATLAB Guide completely revises and updates the
best-selling second edition and is more than 25 percent longer. The
book remains a lively, concise introduction to the most popular and
important features of MATLAB and the Symbolic Math Toolbox. Key
features are a tutorial in Chapter 1 that gives a hands-on overview of
MATLAB, a thorough treatment of MATLAB mathematics, including the
linear algebra and numerical analysis functions and the differential
equation solvers, and a web page at http://www.siam.org/books/ot150
that provides a link to example program files, updates, and links to
MATLAB resources. The new edition contains color figures throughout,
includes pithy discussions of related topics in new "Asides" boxes
that augment the text, has new chapters on the Parallel Computing
Toolbox, object-oriented programming, graphs, and large data sets,
covers important new MATLAB data types such as categorical arrays,
string arrays, tall arrays, tables, and timetables, contains more on
MATLAB workflow, including the Live Editor and unit tests, and fully
reflects major updates to the MATLAB graphics system.

This will be the fourth edition of a series of meetings started with
the 2006 MUMPS User Days. The aim of this event is to bring together
MUMPS users from both academia and industry and MUMPS developers. The
general theme of the meeting ranges from sparse direct solvers and
related issues to applications and experiences with MUMPS.

There will be no registration fee although you must register
beforehand.

This long-running conference is open to all researchers in the field,
and covers a diverse range of topics within numerical analysis. We
welcome proposals for minisymposia on specific topics, as well as
contributed talks in any relevant area: details of how to submit
contributions can be found on our webpage (details below).

Applications are invited for the position of Beyer Professor in
Applied Mathematics in the School of Mathematics at the University of
Manchester. The Beyer Chair was founded in 1881 and since then has
been held by internationally pre-eminent figures in applied
mathematics including Sir Horace Lamb FRS, Douglas Hartree FRS, Sir
James Lighthill FRS, Fritz Ursell FRS and, most recently, David
Abrahams (who is the newly appointed Director of the Isaac Newton
Institute, University of Cambridge). The new Beyer Professor will
play a leading role in the life of the School, including research,
teaching and service/leadership.

Position No. 00050961. Applications are invited for the Clements Chair
of Mathematics to begin in the fall semester of 2017. The department
is searching for senior scholars with outstanding records of research
in computational and applied mathematics as well as a strong
commitment to teaching, including an established history of advising
doctoral students. We are seeking candidates whose interests align
with those of the department and who would contribute in a substantial
way to the university's initiatives in high performance computing,
data science and interdisciplinary research. In addition we expect the
Clements Chair to provide leadership in the further development of our
graduate and undergraduate programs. The Department of Mathematics
offers graduate degrees in Computational and Applied Mathematics and
includes 17 tenured or tenure-track faculty researchers, all of whom
work in application areas. Visit http://www.smu.edu/math/ for more
information. To apply send a letter of application with a curriculum
vitae, a list of publications, research and teaching statements, and
the names of three references to: The Faculty Search Committee,
Department of Mathematics, Southern Methodist University, P.O. Box
750156, Dallas, Texas, 75275- 0156. The Search Committee can also be
contacted by sending e-mail to mathsearch@mail.smu.edu. (Tel:
(214)768-2452; Fax: (214)768- 2355). Applications received by January
15, 2017 will receive full consideration, but will continue to be
accepted until the position is filled. A Ph.D. in applied mathematics
or a related field is required. Applicants will be notified when the
search is concluded. SMU, a private university with active graduate
and undergraduate programs in the sciences and engineering, is
situated in a quiet residential section of Dallas. The Dallas-Fort
Worth Metroplex is America's fourth largest metropolitan area, and
residents enjoy access to world-class cultural and entertainment
activities. Southern Methodist University will not discriminate in
any program or activity on the basis of race, color, religion,
national origin, sex, age, disability, genetic information, veteran
status, sexual orientation, or gender identity and expression. The
Executive Director for Access and Equity/Title IX Coordinator is
designated to handle inquiries regarding nondiscrimination policies
and may be reached at the Perkins Administration Building, Room 204,
6425 Boaz Lane, Dallas, TX 75205, 214-768-3601, accessequity@smu.edu.
Hiring is contingent upon the satisfactory completion of a
background check.

The School of Mathematics at the University of Manchester is seeking
applications for four positions, at all levels between Lecturer and
Professor, in Applied Mathematics/Mathematical Statistics. These
appointments are part of a significant initiative, specifically aimed
at the interface between applied mathematics, statistics and data
science. There is significant activity within the University
employing statistical tools (including in healthcare and biomedical
research) and applicants with an appetite for interdisciplinary
research will be especially welcome.

The Center for Applied Scientific Computing at Lawrence Livermore
National Laboratory (LLNL) has an immediate opening for a postdoctoral
researcher to perform research and development of high-order finite
element algorithms targeting heterogeneous supercomputing
architectures and exascale applications, as part of the Exascale
Computing Project (ECP) co-design Center for Efficient Exascale
Discretizations (CEED). The successful candidate will design,
implement, analyze and test new approaches for efficient finite
element assembly, evaluation, and other core discretization algorithms
and kernels on unstructured meshes, including unstructured adaptive
mesh refinement.

Essential qualifications include background in high-order finite
element or spectral element methods for PDE discretizations on
unstructured meshes; knowledge of continuous and/or discontinuous
Galerkin methods; experience in developing scientific software with
CUDA, MPI or OpenMP; ability to perform independent research and
software development; track record of developing complex C++ software
in a Linux environment; and effective verbal and written communication
skills necessary to interact with a multi-disciplinary research team,
author technical and scientific reports and papers, and deliver
scientific presentations.

The Institute for Computational Engineering and Sciences at the
University of Texas at Austin, is seeking a Postdoc to develop
computational and mathematical algorithms for oil recovery. Areas of
interest in algorithms include, for example, numerical optimization,
large-scale inverse problems, and statistical inference.

Requirement: PhD in computational applied Math or related areas such
as computational petroleum engineering. Having experience in
computational inverse problem, optimization, and numerical methods for
PDEs is a plus.

Please contact Tan Bui-Thanh at tanbui@ices.utexas.edu for more
details.

Salary is competitive and can be negotiated depending on
qualifications. The position is renewable each year based on
excellent progress.

We have an immediate opening for a postdoctoral researcher with
expertise in numerical analysis who can contribute as a member of a
dynamic, multidisciplinary team of application scientists and applied
mathematicians developing and implementing time integration and solver
methods for climate and other DOE applications. Essential
qualifications include a strong background in numerical analysis
including analysis of multistep and multistage time integration
methods; expertise in iterative methods for solution of nonlinear
systems, including Newton-Krylov methods; demonstrated ability to
develop and to perform theoretical analysis of new numerical
algorithms and to perform independent research; experience in applying
numerical methods within a scientific application; experience
programming in FORTRAN, C, and C++ in a Linux environment and
developing algorithms for parallel computer architectures; and
effective verbal and written communication skills necessary to
interact with a multi-disciplinary research team, author technical and
scientific reports and papers, and deliver scientific presentations.
This position is in the Computation Directorate within the Center for
Applied Scientific Computing (CASC) Division.

Description. The research group Applied Mathematics and the research
group Vision Lab at the University of Antwerp have an open position
for a postdoctoral researcher for a joint project on high performance
algorithms for inverse reconstruction, in particular for Talbot Lau
grating interferometry based phase contrast tomography. These
algorithms have a wide range of applications in medicine (CT-scans),
industry (nondestructive testing) and science (3D imaging of
nanomaterials). She/he will develop high performance Krylov methods
for phase contrast x-ray imaging that will run on large scale parallel
machines and accelerator hardware. Furthermore, the mathematical
modeling of phase contrast imaging process will be refined. The
algorithms will be designed to reduce communication and
synchronization overhead and the Astra toolbox with a advanced
numerical solvers (http://www.astra- toolbox.com/).

Profile and requirements. Applicants are expected to hold a PhD in
computer science, physics, mathematics or engineering. Should have a
proven track record in the development of advanced numerical methods
for large scale problems. We offer an exciting 2-year research project
in a dynamic and international context (1 year evaluation);
multidisciplinary research: cooperation with between the applied
mathematics and vision lab. Additional information about the vacancy
can be obtained from: Prof. Dr. Wim Vanroose
(wim.vanroose@uantwerpen.be) or Prof. Dr. J. Sijbers
(Jan.Sijbers@uantwerpen.be).

How to apply? Interested candidates are invited to send a motivation
letter, a detailed CV, and contact info of at least two references to
Prof. Dr. Wim Vanroose (wim.vanroose@uantwerpen.be) and
Prof. J. Sijbers, (Jan.Sijbers@uantwerpen.be)

Applications are invited for two postdoctoral research positions
associated with an integrated project on the Numerical Analysis of
adaptive UQ algorithms for PDEs with random inputs. One position will
based in Manchester, and one will be based in Birmingham. The
positions are funded by an EPSRC grant and will be for three years,
starting as soon as possible after 3rd April 2017 (negotiable).

Our group at the Max Planck Institute for Dynamics of Complex
Technical Systems in Magdeburg (Germany) invites applications for a
doctoral and a postdoctoral position in Applied Mathematics /
Optimization / Computational Biology. Applicants should have profound
knowledge in fields such as (linear) optimization, mixed-integer
linear programming (MILP), or computational geometry. Experiences with
CPLEX or/and programming in MATLAB would be beneficial (but not
mandatory) as would be some basic knowledge or experience in (Systems)
Biology or/and modeling of metabolic networks.

The positions will be part of a larger interdiscipliniary project
funded by the ERC with the goal to establish a new design principle
for metabolic engineering of microorganisms used in biotechnological
production processes. Applicants should thus have the opportunity to
collaborate with people from the (wet) lab.

The Math Department of Hamburg University of Technology (Germany) has
open four-year positions which include research and teaching
responsibilities (in German). The salary level is according to the
German public service regulation (TV-L 13). Additional information is
available athttps://www.mat.tuhh.de/informationen/stellenausschreibungen.html All
positions are open for PhD students, only the position H-17-04
(deadline Jan 25, 2017) is also available for a Postdoc.

A new PhD fellowship in computational science is available at the
Department of Mathematical Sciences at the Norwegian University of
Science and Technology (NTNU). The successful candidate will join the
activities of the project Geometric Numerical Integration for Particle
Dynamics in Turbulent Flows. This is an interdisciplinary project,
where experts in fluid dynamics and in geometric numerical integration
collaborate to improve models of non-spherical particle dynamics in
turbulent flows.

The main focus of the position is the design of new
structure-preserving numerical methods specifically tailored to
accurately track translational and rotational motion of non-spherical
particles in complex flows simulated by direct numerical simulation.

Applications are invited for a fully funded 3 year PhD studentship in
numerical linear algebra, under the supervision of Dr Jennifer Pestana
and Dr Alison Ramage, at the Department of Mathematics and Statistics
at the University of Strathclyde, Glasgow, Scotland.

This project aims to develop novel preconditioned iterative methods
for linear systems arising in the numerical approximation of partial
differential equations via radial basis functions (RBFs). These RBF
methods are well suited to problems with complex geometries and/or
scattered data, such as those occurring in biological and geophysical
applications. However, the linear system that must be solved as part
of the RBF method becomes increasingly challenging to work with as the
approximation is refined. This project will extend previous work on
preconditioning RBF systems to provide more efficient and robust
solvers for these problems.

The studentship covers UK/EU tuition fees and comes with an annual
tax-free stipend at the standard UK rate. International students who
can fund the difference between UK/EU and International fee rates are
also encouraged to apply.

Applicants should have or expect to obtain a good (I or II(i)) honours
degree in mathematics or in a related discipline. Experience of
numerical mathematics and/or programming would be beneficial.

We're excited to let you know we are accepting applications for the
2017 Parallel Computing Summer Research Internship at Los Alamos
National Laboratory. This summer program allows students to learn
about high-performance computing with research projects applied to
real scientific applications on cutting edge architectures. You can
get more information at the website http://parallelcomputing.lanl.gov
with information about 2016 students, mentors, and projects. The
application deadline submission is January 27, 2017. Please email us
at apply-parallelcomputing@lanl.gov to apply or if you have any
questions.

The main objective of the proposed publication is two-fold. While,
there is a tremendous lack of information in the current literature
about what are the efficient and standard implementations of LBM on
the current and upcoming parallel architectures, there is also a big
difficulty to find books that cover the different extensions used on
LBM-based solvers. These extensions are very well known by the
community and are necessary and used for multiple applications. So,
the motivation of this book is to cover such gap, giving to the
community the necessary information to develop efficiently LBM solvers
on different areas of interest and computational platforms.

Researchers and practitioners are invited to submit on or before
February 17, 2017, a chapter proposal of 1,000 to 2,000 words clearly
explaining the mission and concerns of his or her proposed
chapter. Authors will be notified by March 17, 2017 about the status
of their proposals and sent chapter guidelines. Full chapters are
expected to be submitted by May 16, 2017, and all interested authors
must consult the guidelines for manuscript submissions athttp://www.igi-global.com/publish/contributor-resources/before-you-write/
prior to submission. All submitted chapters will be reviewed on a
double-blind review basis. Contributors may also be requested to serve
as reviewers for this project.